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Correlation analysis helps identify the relationship between two or more companies, showing how they move about each other. It helps assess patterns, manage risk, and improve decision-making by revealing which assets correlate positively or negatively.
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| Symbol | Correlation |
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-0.628233 |
| |
-0.628237 |
| |
-0.628240 |
| |
-0.628264 |
| |
-0.628343 |
| |
-0.628414 |
| |
-0.628628 |
| |
-0.628771 |
| |
-0.628873 |
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-0.628898 |
| |
-0.628932 |
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-0.628943 |
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-0.629133 |
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-0.629168 |
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-0.629198 |
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-0.629215 |
| |
-0.629242 |
| |
-0.629300 |
| |
-0.629572 |
| |
-0.629607 |
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-0.629653 |
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-0.629747 |
| |
-0.629858 |
| |
-0.629879 |
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-0.630047 |
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Stock Correlation - Explanation
Stock Correlation is the statistical measure of the relationship between two stocks. The correlation coefficient ranges between -1 and +1. A correlation of +1 implies that the two stocks will move in the same direction 100% of the time. A correlation of -1 implies the two stocks will move in the opposite direction 100% of the time. A correlation of zero implies that the relationship between the stocks is completely random. Correlations do not always remain stable and can even change on a daily basis. Correlation analysis can help you to diversify your positions. An imperfect correlation between two different stocks allows for more diversification and marginally lower risk.
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